UAV and a deep convolutional neural network for monitoring invasive alien plants in the wild-Reference-Cited by-同舟云学术

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UAV and a deep convolutional neural network for monitoring invasive alien plants in the wild

Published:2020-07 Issue: Volume:174 Page:105519
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Qian Wanqiang,Huang Yiqi,Liu Qi,Fan Wei,Sun Zhongyu,Dong Hui,Wan Fanghao,Qiao Xi

Funder

Urban Management Bureau of Shenzhen Municipality

Shenzhen

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference48 articles.

1. Mapping Prosopis glandulosa (mesquite) in the semi-arid environment of South Africa using high-resolution WorldView-2 imagery and machine learning classifiers;Adam;J. Arid Environ.,2017

2. Determining subcanopy psidium cattleianum invasion in hawaiian forests using imaging spectroscopy;Barbosa;Remote Sens.,2016

3. Combining image processing and machine learning to identify invasive plants in high-resolution images;Baron;Int. J. Remote Sens.,2018

4. Hyperspectral sensors as a management tool to prevent the invasion of the exotic cordgrass spartina densiflora in the doñana wetlands;Bustamante;Remote Sens.,2016

5. Using landsat time series to understand how management and disturbances influence the expansion of an invasive tree;de Sa;IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.,2017

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